Efficient Memory Management Techniques In Cloud Computing

Efficient Memory Management Techniques In Cloud Computing

Efficient Memory management is one of the hot topics these days in Cloud because of the augmenting need of integrated data handling and exigency of optimized memory management algorithms. The trending Application Service Provider (ASP) and Database-as-a-Service (DaaS) paradigms are in need of smart memory management protocols to be integrated in Cloud in order to get rid of the latency and load balancing issues.

On demand resource allocation is the key in optimizing the data efficiency of the Cloud. There is a huge drainage of resources across the Cloud platform if the resources are allocated and left idle. Continuous checks and monitoring is necessary to get hold of the idle resources. The best example in this domain is the Amazon’s Elastic Compute Cloud (EC2) which is one of the befitting examples of the practical implementations of the Cloud. EC2 Cloud only allocates the resources to the virtual or real entities on demand. The Cloud computer architecture asks for a clustered structure of the memory resources in the form of virtual entities. Gone are the days when memory management was done using the static methods. As Cloud environment is dynamic and volatile, there is a strong need to inculcate the dynamic memory allocation trends in the Cloud based systems. One thing that must be ensured is the avoidance of the “memory over commitment”. The kick start approach must be to restrain the memory allocation to the minimum level to avoid the drainage of resources.

The researchers have devised very useful, effective and commodious memory management architecture. In this approach, the memory allocation is done with a technique known as swapping. Virtual swap management mechanism (VSMM) is the most appropriate solution up till now for the dynamic environment where there is no static pre-allocation of the memory. VSMM consists of four levels. The first is memory watch dog which alerts the host about the memory leakage and out of space problems.  Second level known as Swap manager is where the real job is done. Swap manager keeps record of all the resources using the memory. As soon as the service monitor generates an alert about the removal of a resource, the swap manager swaps the memory resources to the other location where it is needed. In this way the swap manager restrains the usage of memory by converging end domains. The other two levels are known as Data exporter and importer who are responsible for maintaining and enabling the communication channels. Al the outbound calls are sent through exporter and importer is responsible for the inbound notifications and entity updates. The potential of the swapping technology has open horizons for more research and development in the Cloud industry.

Other techniques like low level paging, generation of strong pointers and database optimization are also useful in ameliorating the Cloud memory management. Different approaches in transactional memory management and analytical data structures are an open choice for the developers and business analysts. The memory efficiency can be achieved by choosing the best resource plan and state of the art technologies.

By Salman UI Haq

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